Search results for "SISTEMI"

showing 10 items of 2026 documents

Stato dell’arte del Friction Stir Welding

2012

Friction Stir WeldingSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Improving Friction Stir Welding of blanks characterized by different thickness

2007

Friction stir welding (FSW) appears to be a promising process even in the welding of blanks of different thicknesses. Actually, such particular tailor welded blanks (TWBs) are usually characterized by a reduction in ductility due to the utilized fusion welding process. In this paper the authors, starting from a preliminary feasibility study, investigate the possibility to improve the mechanical performances of friction stir welded blanks of aluminum alloy with different thicknesses. Both experiments and a FE analyses are developed for a few case studies with different thickness ratios between the blanks. The numerical investigations are performed with the aim to highlight the material tempe…

Friction Stir WeldingSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Friction Stir Processing: thermo-mechanical loads and consequent effects on the local material characteristics

2008

The present article is focused on the correlation between the applied thermal and mechanical loads and the consequent effects on the material in friction stir processing (FSP) operations. On one hand, the actions exerted in FSP are split compared to the results obtained with a tool without the pin at its end to a traditional one with a cylindrical pin. In this way, the thermal flux determined by the frictional forces at the tool—shoulder—workpiece interface is secluded from the mechanical stirring action made by the tool pin. On the other hand, the processed specimens are analysed in terms of residual stress state, microhardness, and average grain size values. An in-process heat treatment …

Friction stir processingMaterials scienceMechanical EngineeringMetallurgychemistry.chemical_elementMicrostructureIndentation hardnessGrain sizeHeat fluxchemistryResidual stressAluminiumThermalFSW FSPGeneral Materials ScienceComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Solid state joining of thin hybrid sandwiches made of steel and polymer: A feasibility study

2020

The growing demand for more environmentally friendly vehicles has led to an increased use of light materials in the transportation industry with the aim to reduce structural weight, fuel consumption, and gas emissions, thereby boosting cost-effectiveness and recyclable properties. Complex multi-material steel-based components would allow to improve mechanical properties and minimize weight even further. In particular, new sandwich materials made by steel outer skins and a polymeric internal layer seems very promising for obtaining mechanical performance and lightness at the same time. Unfortunately, traditional welding techniques, like arc welding, laser welding, and resistance spot welding…

Friction stir weldingMetal-polymer-metal sandwich compositeMechanical propertieSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Recent advances in sheet metal single point incremental forming and friction stir welding

2011

Friction stir weldingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneIncremental sheet forming
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Friction based solid state welding processes

2012

Friction solid bonding FSW LFWSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Friction stir consolidation of aluminum machining chips

2017

Friction stir consolidation (FSC) is a solid-phase manufacturing process that consolidates metal powder, chips, or scraps into solid blocks via severe plastic deformation and solid state welding. It has the potential to be a more economical and “green” process to recycle metal waste. In this study, solid discs were made from AA6061 aluminum alloy machining chips by FSC. The progression of the process was revealed by analyzing the motion of the tool, consolidating force, power history, and macro/microstructure of discs produced from a series of partial consolidation experiments. A bowl-shaped recrystallized zone in the vertical cross-sections of the disc products was observed and conside…

Frictions stir consolidation0209 industrial biotechnologyMaterials sciencebusiness.product_category02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationMachininglawRecyclingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMDesign of experimentConsolidation (soil)Mechanical EngineeringMetallurgyRotational speedComputer Science Applications1707 Computer Vision and Pattern Recognition021001 nanoscience & nanotechnologyComputer Science ApplicationsCompressive strengthControl and Systems EngineeringMetal powderDie (manufacturing)Severe plastic deformation0210 nano-technologybusinessSoftware
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Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis

2016

In this article, a fully unsupervised method for brain tissue segmentation of T1-weighted MRI 3D volumes is proposed. The method uses the Fuzzy C-Means (FCM) clustering algorithm and a Fully Connected Cascade Neural Network (FCCNN) classifier. Traditional manual segmentation methods require neuro-radiological expertise and significant time while semiautomatic methods depend on parameter's setup and trial-and-error methodologies that may lead to high intraoperator/interoperator variability. The proposed method selects the most useful MRI data according to FCM fuzziness values and trains the FCCNN to learn to classify brain’ tissues into White Matter, Gray Matter, and Cerebro-Spinal Fluid in …

Fuzzy clusteringComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreFuzzy logicImaging phantom030218 nuclear medicine & medical imaging03 medical and health sciencesbrain images segmentation0302 clinical medicinevoxel-based morphometryBrain segmentationSegmentationElectrical and Electronic EngineeringCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial neural networkbusiness.industryUsabilityneural networksElectronic Optical and Magnetic MaterialsComputingMethodologies_PATTERNRECOGNITIONfuzzy clusteringunsupervised tissues classificationComputer Vision and Pattern RecognitionData miningbusinesscomputer030217 neurology & neurosurgerySoftwareInternational Journal of Imaging Systems and Technology
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Improving the energy efficiency of an islanded distribution network using classical and innovative computation methods

2016

The paper presents the analysis of some potentially suitable actions for reducing the energy losses of an islanded Medium Voltage distribution network, with the aim of improving electricity distribution efficiency. For this purpose, four actions are considered: 1) increasing the network's rated voltage; 2) reactive power compensation through static capacitor banks; 3) reactive power compensation through switchable capacitor banks; 4) installation of distributed photovoltaic (PV) generation. The first two measures are typically taken into account by the distribution system operators and can be examined by means of classical design methods, whereas the latter two more innovative actions are t…

GHG emissionEngineeringMathematical optimizationOptimization problemSociology and Political Science020209 energy02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawDevelopment01 natural sciencesCompensation (engineering)law.inventionlawSustainable development0202 electrical engineering electronic engineering information engineeringDevelopment3304 EducationBusiness and International ManagementDesign methods0105 earth and related environmental sciencesElectric power distributionbusiness.industryPhotovoltaic systemElectrical engineeringAC powerSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaCapacitorEnergy efficiencybusinessLawEfficient energy useUtilities Policy
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A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection

2020

In the first seconds of observation of an image, several visual attention processes are involved in the identification of the visual targets that pop-out from the scene to our eyes. Saliency is the quality that makes certain regions of an image stand out from the visual field and grab our attention. Saliency detection models, inspired by visual cortex mechanisms, employ both colour and luminance features. Furthermore, both locations of pixels and presence of objects influence the Visual Attention processes. In this paper, we propose a new saliency method based on the combination of the distribution of interest points in the image with multiscale analysis, a centre bias module and a machine …

General Computer ScienceComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONinterest pointsLuminanceSalience (neuroscience)medicineVisual attentionGeneral Materials ScienceComputer visionElectrical and Electronic EngineeringVisual saliencySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbusiness.industryGeneral EngineeringEye-movementsObject (computer science)saliency mapVisual fieldIdentification (information)Visual cortexmedicine.anatomical_structurevisual attentionEye trackinglcsh:Electrical engineering. Electronics. Nuclear engineeringArtificial intelligenceScale (map)businesslcsh:TK1-9971
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